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JDBCX MCP Server

JDBCX MCP Server

Public
jdbcx/pydbcx-mcp

Enables seamless communication with diverse data sources via JDBCX using the Model Context Protocol, supporting configurable query timeouts, data formats, and secure access for efficient data integration.

python
0 tools
May 30, 2025
Updated Jun 4, 2025

Supercharge Your AI with JDBCX MCP Server

MCP Server

Unlock the full potential of JDBCX MCP Server through LangDB's AI Gateway. Get enterprise-grade security, analytics, and seamless integration with zero configuration.

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Instant Setup
99.9% Uptime
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Configuration Requirements
none
Configure authentication and required variables to access this MCP server
Required Environment Variables
MCP_TRANSPORT
Optional
string

MCP server transport (stdio, see)

Default: stdio
DEFAULT_ROWS_LIMIT
Optional
string

Default number of rows can be returned

Default: 100
MAX_ROWS_LIMIT
Optional
string

Maximum number of rows can be returned

Default: 1000
JDBCX_SERVER_TOKEN
Optional
string

JDBCX server access token

DEFAULT_ACCEPT_ENCODING
Optional
string

Default accept-encoding

Default: identity
DEFAULT_QUERY_TIMEOUT_SECONDS
Optional
string

Default query timeout (seconds)

Default: 10
JDBCX_LOG_LEVEL
Optional
string

Log level

Default: DEBUG
MCP_SERVER_HOST
Optional
string

MCP server listening address

Default: 0.0.0.0
MCP_SERVER_NAME
Optional
string

MCP server name

Default: JDBCX MCP Server
DEFAULT_DATA_FORMAT
Optional
string

Default data format (md, jsonl, csv)

Default: csv
JDBCX_SERVER_URL
Optional
string

JDBCX server URL

Default: http://localhost:8080
MCP_SERVER_PORT
Optional
string

MCP server listening port

Default: 8080

Security Notice

Your environment variables and credentials are securely stored and encrypted. LangDB never shares these configuration values with third parties.

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